Correlation between cortical inhibition and auditory stream segregation in a driving environment

E. Gonzalez-Trejo, Manuel C. Kohl, Alexander Steinbach, Hannes Mögele, Norbert Pfleger, D. Strauss
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Abstract

Streams of information reach the brain in different modalities while driving (both from the vehicle user interface as well as the environment), each requiring a certain degree of attention from the driver. The driver should ideally be able to focus on the road ahead and not on secondary streams such as vehicle alerts, mobile phone, passengers or radio. However, the individual ability to selectively ignore distractions can have a direct influence on driving performance. Here, we use paired-chirp auditory late responses (ALRs) in order to assess long interval cortical inhibition (LICI) in healthy subjects, and compare it to the score in an auditory stream segregation task within a driving simulator. Results show significant correlation between LICI and task scores, suggesting that people with a higher/more effective cortical inhibition as measured by ALRs can ignore distracting streams easily, while people with less effective cortical inhibition find harder to concentrate on a single, more relevant stream. The fundamental results obtained suggest that cortical inhibition may be employed as a predictor of driving performance, useful for the design of auditory human-vehicle interfaces.
驾驶环境中皮层抑制与听觉流分离的关系
在驾驶过程中,信息流以不同的方式到达大脑(包括来自车辆用户界面和环境的信息),每一种信息都需要驾驶员一定程度的注意力。理想情况下,司机应该能够专注于前方的道路,而不是次要流,如车辆警报、手机、乘客或收音机。然而,个人选择性忽略干扰的能力会对驾驶表现产生直接影响。在这里,我们使用配对啁啾听觉延迟反应(ALRs)来评估健康受试者的长间隔皮层抑制(LICI),并将其与驾驶模拟器中听觉流分离任务的得分进行比较。结果显示,LICI与任务得分之间存在显著的相关性,表明alr测量的皮质抑制较高/更有效的人可以很容易地忽略分散注意力的流,而皮质抑制较低的人则很难集中注意力于单一的、更相关的流。获得的基本结果表明,皮质抑制可以作为驾驶性能的预测因子,对听觉人车界面的设计有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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